1. doonish
Online
trivia
game
to
play
with
your
friends
Betabeers
London
–
10/05/2012
Pau
Gay
@paugay

2. The
Idea
Online
trivial
game
inspired
in
the
well
known
Trivial
Pursuit
• Gain
points
when
asking
the
ques;ons
right
and
compete
to
be
the
first
into
the
ranking
• People
can
create
ques;ons:
Community
generated
base
of
ques4ons
• A
bit
of
story
– 2007:
First
version
– 2010:
Complete
redesign

3. Ques;on
…
Which
element
follows
the
series:
1,
1,
2,
3,
5,
8,
13,
…

4. The
Problem
There
is
no
problem
that
we
are
solving
We
are
not
a
medicine,
we
are
a
vitamin

5. The
Problem
There
is
no
problem
that
we
are
solving
We
are
not
a
medicine,
we
are
a
vitamin
But
some;mes
we
get
feedback
like
that:
“Buen
día,
una
felicitación
para
ud
por
este
proyecto
tan
bonito
que
le
da
dignidad
al
Internet,
es
para
mi
un
gusto
estar
acá
y
que
la
casualidad
me
halla
traído.
[…]”

6. The
Team
Toni
Lopez
/
Backend
@picahielos
Really
hard
worker.
Likes
sports
and
the
healthy
life
and
he
is
the
king
of
the
salads.
Works
for
VisualDNA
Miguel
Florido
/
Backend
&
strategy
@miguelflorido
Crea;ve
and
the
ideator.
Likes
to
learn
about
human
brain
and
outer
space.
SoUware
Developer
at
SoUonic
in
BCN.
Manel
Perez
/
SEO
@do-­‐not-­‐have-­‐twi]er-­‐lol
Perfe;onist,
has
op;mized
the
applica;on.
Likes
traveling
and
the
under
the
sea
(he
met
once
The
Li]le
Mermaid).
Working
for
SoUonic.
Pau
Gay
/
Frontend
&
management
@paugay
Executor.
Likes
to
play
and
watch
football
and
strategy
games.
Working
for
VisualDNA
as
SoUware
Engineer.

7. Ques;on
…
We
have
100
birds
sibng
in
a
tree
and
we
shoot
with
a
shotgun
and
kill
two
of
them.
How
many
birds
last
on
the
tree?

8. The
Technology
Ini4al
approach
“Choose
the
technology
that
will
allow
us
to
do
more
in
less
Lme”
For
that
reason:
•
Use
known
technology
•
Avoid
the
“learning”
part
at
this
stage

9. The
interes;ng
part

10. The
interes;ng
part
Naïve
Bayes
text
classifier
Help
people
classify
the
ques;ons
in
a
category
depending
on
the
user
words.
See
code:
h]ps://github.com/paugay/doonish-­‐nb-­‐
classifier

11. The
interes;ng
part
Naïve
Bayes
text
classifier
Tagging
Engine
Help
people
classify
the
ques;ons
in
a
Help
people
classify
the
ques;ons
in
a
tag
category
depending
on
the
user
words.
depending
on
the
using
keywords.
See
code:
Controller
environment
don’t
want
to
go
h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.
Using
included
and
excluded
keywords
classifier

12. The
interes;ng
part
Naïve
Bayes
text
classifier
Tagging
Engine
Help
people
classify
the
ques;ons
in
a
Help
people
classify
the
ques;ons
in
a
tag
category
depending
on
the
user
words.
depending
on
the
using
keywords.
See
code:
Controller
environment
don’t
want
to
go
h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.
Using
included
and
excluded
keywords
classifier
Donnish
Scrapper
Robot
that
scrap
ques;ons
from
the
compe;tors:
•
TriviNet
•
Listometro
Cookie
management
to
“try
many
Lmes
unLl
get
the
right
answer”.

13. The
interes;ng
part
Naïve
Bayes
text
classifier
Tagging
Engine
Help
people
classify
the
ques;ons
in
a
Help
people
classify
the
ques;ons
in
a
tag
category
depending
on
the
user
words.
depending
on
the
using
keywords.
See
code:
Controller
environment
don’t
want
to
go
h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.
Using
included
and
excluded
keywords
classifier
Donnish
Scrapper
Wikipedia
Text
Robot
that
scrap
ques;ons
from
the
Give
some
extra
content
to
each
ques;on:
compe;tors:
•
TriviNet
1. Search
ques;on
on
Google
•
Listometro
2. Get
first
Wikipedia
entry
3. Go
to
English
entry
Cookie
management
to
“try
many
Lmes
unLl
4. Get
the
first
text
snippet
get
the
right
answer”.
5. Translate
to
Spanish
using
Bing

14. Ques;on
…
It
is
3.15pm
and
you
are
in
front
of
a
old
clock.
What
is
the
angle
between
the
two
hands
of
the
clock?

15. Ques;on
…
It
is
3.15pm
and
you
are
in
front
of
a
old
clock.
What
is
the
angle
between
the
two
hands
of
the
clock?

16. What
we
are
doing
right
• SEO,
op;mized
landing
page
per
ques;on
• Layer
of
administra;on
to
approve
content
• Keep
really
low
the
cost
of
the
project

17. What
we
are
doing
wrong
• Homogeny
team
• Not
engaging
with
the
users
• Don’t
really
know
how
to
…
– Mone;ze
– Do
Social
Media
properly
– How
to
market
the
product

18. The
end
Thanks
a
lot
for
you
a]en;on
Time
for
quesLons,
comments,
insults
Twi]er
twiNer.com/doonisher
Facebook
facebook.com/doonisher

19. More
about
doonish
…
Here
there
are
some
links
where
you
can
learn
more
about
doonish
and
the
project.
Interview
@
Todostartups.com
h]p://bit.ly/wXrbzM
Interview
@
betabeers.com
h]p://bit.ly/JzNjSA
Blog
posts
@
my
personal
blog
h]p://paugay.com/blog/category/doonish
Other
men;ons
from
the
Spanish
blogger
scene
h]p://doonish.es/apariciones
Unfortunately
content
is
in
Spanish
at
the
moment